martimfasantos commited on
Commit
39e02d4
1 Parent(s): 6e784cd

Model save

Browse files
README.md CHANGED
@@ -2,13 +2,12 @@
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  license: apache-2.0
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  library_name: peft
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  tags:
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- - alignment-handbook
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  - trl
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  - sft
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  - generated_from_trainer
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  base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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  datasets:
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- - martimfasantos/openai-tldr-filtered
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  model-index:
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  - name: tinyllama-1.1b-sum-sft-qlora
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  results: []
@@ -19,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # tinyllama-1.1b-sum-sft-qlora
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- This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the martimfasantos/openai-tldr-filtered dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.1637
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  ## Model description
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@@ -50,15 +49,14 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.1729 | 1.0 | 1340 | 2.1778 |
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- | 2.1327 | 2.0 | 2681 | 2.1632 |
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- | 2.0989 | 3.0 | 4020 | 2.1637 |
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  ### Framework versions
 
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  license: apache-2.0
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  library_name: peft
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  tags:
 
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  - trl
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  - sft
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  - generated_from_trainer
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  base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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  datasets:
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+ - generator
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  model-index:
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  - name: tinyllama-1.1b-sum-sft-qlora
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  results: []
 
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  # tinyllama-1.1b-sum-sft-qlora
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+ This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.1466
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.1383 | 1.0 | 1351 | 2.1541 |
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+ | 2.1135 | 2.0 | 2702 | 2.1466 |
 
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  ### Framework versions
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